Part 0. Introduction
Five modules:
Required to have some recent exposure to probability and R.
Useful (not required) to have exposure to
If you have don’t have much exposure to \(X\), you may have to work harder on \(X\).
If you have lots of exposure to all of the above, we believe you can still learn something.
R or CrossValidated (https://stats.stackexchange.com/) if it’s about stats.Please also answer questions on our private StackOverflow.
If you email me a question, I am likely to tell you to put it on our StackOverflow.
Taught by John, Fridays, two sessions
All slides and assignments will be distributed via the course Github:
https://github.com/UChicago-pol-methods/IntroQSS-F24
git clone and periodically update via git pull.Homework submission via Canvas page.
By lab on Friday (ideally sooner), make sure you have R/RStudio installed, and can compile a qmd file to pdf.
R from https://cran.rstudio.com/tidyverse and tinytexRender to make pdf.Our goal in this class is to understand topics every social scientist needs to know:
Many social scientists only know this, and most have important misunderstandings.
You need to know the correct parts above! (e.g. reading regression table, interpreting interaction terms)
But also, we want you